Triple
T38099204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quauhnahuac |
E951328
|
entity |
| Predicate | topographicallySimilarTo |
P190016
|
FINISHED |
| Object | Cuernavaca |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Cuernavaca | Statement: [Quauhnahuac, topographicallySimilarTo, Cuernavaca]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topographicallySimilarTo Context triple: [Quauhnahuac, topographicallySimilarTo, Cuernavaca]
-
A.
topographicallyContrastedWith
Indicates that two geographic areas are compared or distinguished based on differences in their physical surface features or terrain.
-
B.
associatedTopography
Indicates a relationship where one entity is linked or connected to a particular topographical feature or terrain.
-
C.
topographyBasedOn
Indicates that the topographical characteristics of one entity are derived from, determined by, or modeled using the topography of another entity.
-
D.
topographicalCategory
Indicates the type of landform or surface feature that characterizes the physical terrain associated with an entity.
-
E.
topographicalForm
Indicates the specific physical shape or configuration of the Earth's surface associated with an entity (such as whether it is a mountain, valley, plateau, etc.).
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76f04960c8190a83f14ae4c67f5bc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc4748843c8190931432653be4890c |
completed | May 7, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69fc45646ce481908caf292ff9f06e15 |
completed | May 7, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69fc4747b06c8190a3ea5331f02eedad |
completed | May 7, 2026, 8:03 a.m. |
Created at: May 3, 2026, 4:21 p.m.